This paper introduces a framework for grid analysis and simulation by the integration of an open-source simulator into a Digital Twin (DT) environment, where the simulator is built in C++ for high-performance applications. It provides real-time and offline simulation capabilities, making it adaptable to various grid management needs such as comprehensive system-level modelling, predictive maintenance, and real-time grid monitoring. A case study with ASM Terni demonstrates the effectiveness in the coordination of Distributed Energy Resources (DERs). The framework is built upon a modular architecture inspired by the open-source project SOGNO, enhancing the scalability and flexibility. In addition, unit testing and code scanning mechanisms ensure the reliability of the solution for sustainable energy management in modern distribution systems.

Advancements in digital twin. Distributed energy resources simulation for supporting system level scenario evaluation / Ghoreishi, Mohammad; Carreras, Leonardo; Nakti, Ghassen; Santori, Francesca; Monti, Antonello; Geri, Alberto. - (2025), pp. 1-6. ( 2025 IEEE Kiel PowerTech Kiel; Germany ) [10.1109/powertech59965.2025.11180734].

Advancements in digital twin. Distributed energy resources simulation for supporting system level scenario evaluation

Ghoreishi, Mohammad
Primo
;
Geri, Alberto
2025

Abstract

This paper introduces a framework for grid analysis and simulation by the integration of an open-source simulator into a Digital Twin (DT) environment, where the simulator is built in C++ for high-performance applications. It provides real-time and offline simulation capabilities, making it adaptable to various grid management needs such as comprehensive system-level modelling, predictive maintenance, and real-time grid monitoring. A case study with ASM Terni demonstrates the effectiveness in the coordination of Distributed Energy Resources (DERs). The framework is built upon a modular architecture inspired by the open-source project SOGNO, enhancing the scalability and flexibility. In addition, unit testing and code scanning mechanisms ensure the reliability of the solution for sustainable energy management in modern distribution systems.
2025
2025 IEEE Kiel PowerTech
Digital twin; grid analysis; simulation; real-time monitoring; distributed energy resources
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Advancements in digital twin. Distributed energy resources simulation for supporting system level scenario evaluation / Ghoreishi, Mohammad; Carreras, Leonardo; Nakti, Ghassen; Santori, Francesca; Monti, Antonello; Geri, Alberto. - (2025), pp. 1-6. ( 2025 IEEE Kiel PowerTech Kiel; Germany ) [10.1109/powertech59965.2025.11180734].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1752170
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